Explore projects
-
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
-
A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning)
Updated -
A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning)
Updated -
-
Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk
Updated -
-
R repo supporting the use of the SAVE project data archive
Updated -
Updated
-
A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning). Is auto-mirrored to https://github.com/dataknut/fridayFagPackets but best viewed at https://dataknut.github.io/fridayFagPackets/
Updated -
Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk
Updated -
A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.
Updated -
A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.
Updated -
A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.
Updated -
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
Updated -
R package to support the re-use of the Solent Achieving Value from Efficiency (SAVE) project data
Updated